Forough Mehralian is a research scientist and software engineer who specializes in automating engineering workflows, enhancing user interactions, and embedding AI across production systems. Currently at Apple, she advances human-centered AI within Services Engineering, bridging research and scalable software delivery. At UC Irvine, she secured a $1.2M NSF grant and delivered data-driven accessibility repair and testing with 24% improvement over state-of-the-art, 86% precision in automated accessibility testing, and 99% precision in energy testing with results in about 37 ms. During her time at Candelis, Inc., she implemented the DICOMWeb standard for web-based access to DICOM data and engineered a cost-efficient archive that cut storage costs by 72.5% per GB, while also building a backend for a performance monitoring dashboard. She has pioneered LLM-based accessibility fixes and a multi-agent GUI accessibility system with 77% success, and holds a PhD in Software Engineering from UC Irvine along with degrees from Sharif University of Technology, currently based in Seattle with a decade of experience.
11 years of coding experience
6 years of employment as a software developer
University of California, Irvine
High school, High school at Farzanegan
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Sharif University of Technology
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